@article{(Open Science Index):https://publications.waset.org/pdf/9999048, title = {Influence of Optical Fluence Distribution on Photoacoustic Imaging}, author = {Mohamed K. Metwally and Sherif H. El-Gohary and Kyung Min Byun and Seung Moo Han and Soo Yeol Lee and Min Hyoung Cho and Gon Khang and Jinsung Cho and Tae-Seong Kim}, country = {}, institution = {}, abstract = {Photoacoustic imaging (PAI) is a non-invasive and non-ionizing imaging modality that combines the absorption contrast of light with ultrasound resolution. Laser is used to deposit optical energy into a target (i.e., optical fluence). Consequently, the target temperature rises, and then thermal expansion occurs that leads to generating a PA signal. In general, most image reconstruction algorithms for PAI assume uniform fluence within an imaging object. However, it is known that optical fluence distribution within the object is non-uniform. This could affect the reconstruction of PA images. In this study, we have investigated the influence of optical fluence distribution on PA back-propagation imaging using finite element method. The uniform fluence was simulated as a triangular waveform within the object of interest. The non-uniform fluence distribution was estimated by solving light propagation within a tissue model via Monte Carlo method. The results show that the PA signal in the case of non-uniform fluence is wider than the uniform case by 23%. The frequency spectrum of the PA signal due to the non-uniform fluence has missed some high frequency components in comparison to the uniform case. Consequently, the reconstructed image with the non-uniform fluence exhibits a strong smoothing effect. }, journal = {International Journal of Biomedical and Biological Engineering}, volume = {8}, number = {8}, year = {2014}, pages = {1108 - 1112}, ee = {https://publications.waset.org/pdf/9999048}, url = {https://publications.waset.org/vol/92}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 92, 2014}, }